Senior Artificial Intelligence Governance Architect

Boeing•Seattle, WA

2d•Hybrid

About The Position

The Boeing Company is currently seeking a Senior Artificial Intelligence Governance Architect to join the team in Seattle, WA; Mesa, AZ; Seal Beach, CA; Arlington, VA; Miami, FL; or North Charleston, SC. We are seeking an Artificial Intelligence (AI) Governance Architect with a systems engineering or operational background to help architect and operate our Enterprise AI Governance program. This role is particularly well suited for someone who has built complex programs from the ground up and someone who understands how to define requirements, establish processes, coordinate across large organizations, and create repeatable, scalable frameworks.

Requirements

5+ years of experience in systems engineering, systems integration, and/or software engineering
5+ years of experience with program management, project management and/or business operations
3+ years of experience in Artificial Intelligence (AI) governance
5+ years of experience in performing risk assessments and risk management
5+ years of experience working in a cross functional environment with all levels in the business from individual contributors to executive leadership
3+ years of experience in design, requirements derivation and/or system architecture development and processes
Must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Nice To Haves

Bachelor's degree or equivalent work or military experience
Current INCOSE systems engineering certification or equivalent professional credential
Experience with technical concepts related to AI/ML systems without necessarily being a model developer
Experience in aerospace, defense, or national security environments with familiarity with DoD acquisition, program oversight, or compliance processes
Experience with AI technologies: machine learning, deep learning, generative AI, and agentic systems at a conceptual and applied level
Experience with NIST AI RMF, ISO 42001, DoD AI Ethics Principles, EU AI Act, or equivalent governance frameworks
Experience using GRC platforms (ServiceNow, Archer, OneTrust, Credo AI or similar) to manage risk and compliance workflows
Experience with AI technology and a track record of staying current on emerging capabilities and their implications for complex organizations

Responsibilities

Lead the design and operationalization of artificial intelligence (AI) governance program infrastructure including intake processes, use case review workflows, risk tiering criteria, escalation paths, and approval frameworks
Develop and release enterprise artificial intelligence (AI) policies, standards, and guidelines for responsible artificial intelligence (AI) use across all business units, ensuring they are practical, enforceable, and grounded in technical reality
Conduct and coordinate artificial intelligence (AI) risk assessments across use cases and technologies, identifying risks, defining mitigation strategies, and tracking compliance actions through closure
Evaluate artificial intelligence (AI) capabilities and vendor-supplied models, including generative artificial intelligence (AI) systems, for alignment with responsible artificial intelligence (AI) standards, identifying vulnerabilities and failure modes
Monitor applicable legislation and regulatory guidance, including National Institute of Standards and Technology Artificial Intelligence Risk Management Framework (NIST AI RMF), Department of Defense Artificial Intelligence Ethics Principles (DoD AI Ethics Principles), European Union Artificial Intelligence Act (EU AI Act), and United States (U.S.) federal artificial intelligence policy, and develop organizational readiness assessments for new requirements
Define documentation standards for artificial intelligence (AI) systems such as model cards, impact assessments, validation records, human oversight requirements, and ensure audit-readiness across the artificial intelligence (AI) portfolio
Build and deliver artificial intelligence (AI) governance training and awareness materials for technical and non-technical stakeholders across the enterprise
Collaborate with engineering, legal, compliance, cybersecurity, and business partners to integrate governance requirements into artificial intelligence (AI) program delivery processes
Contribute to the development of enterprise artificial intelligence (AI) governance metrics, key performance indicators (KPI), and executive reporting on program maturity and risk posture